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Pavol cloud UI feat #117

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Pavol cloud UI feat #117

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38db693
fix: Load Google Sheet node on click will display grid in UI
Palo124 Nov 24, 2025
40780a3
feat: serialize logical types to attributes into redis for later UI d…
Palo124 Nov 24, 2025
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21 changes: 3 additions & 18 deletions forloop_modules/function_handlers/integration_handlers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1016,26 +1016,11 @@ def execute(self, node_detail_form):
sheet_name = node_detail_form.get_chosen_value_by_name("sheet_name", variable_handler)
new_var_name = node_detail_form.get_chosen_value_by_name("new_var_name", variable_handler)

new_var_name = variable_handler._set_up_unique_varname(new_var_name)
fields = self.generate_shown_dataframe_option_field(new_var_name)
new_var_name = self.update_node_fields_with_shown_dataframe(node_detail_form, new_var_name)

self.direct_execute(sheet_url, sheet_name, new_var_name)

# Deprecated as DataFrame node is being deprecated, TODO: delete the DF node is definitely removed
# response = ncrb.new_node(pos=[500, 300], typ="DataFrame", fields=fields)
# if response.status_code in (200, 201):
# result=json.loads(response.content.decode('utf-8'))
# node_uid = result["uid"]


# ncrb.update_last_active_dataframe_node_uid(node_uid)

# global loaded_filename
# loaded_filename = new_var_name

# return new_var_name
# else:
# raise HTTPException(status_code=response.status_code, detail="Error requesting new node from api")

ncrb.update_last_active_dataframe_node_uid(node_detail_form.node_uid)

def direct_execute(self, sheet_url, sheet_name, new_var_name):
try:
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9 changes: 8 additions & 1 deletion forloop_modules/utils/various.py
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Expand Up @@ -50,9 +50,16 @@ def serialize_dataframe_to_api(variable_value_df: pd.DataFrame) -> dict:
:return: Variable's value serialized as a dict
:rtype: dict
"""

df = variable_value_df.copy()
df = df.replace(np.nan, None)
return {"columns": list(df.columns), "values": df.values.tolist()}

result = {
"columns": list(df.columns),
"values": df.values.tolist(),
"attrs": df.attrs
}
return result


def parse_if_dataframe_from_db(variable_series: pd.Series) -> Any:
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